We consider an asynchronous voting process on graphs called discordant voting, which can be described as follows. Initially each vertex holds one of two opinions, red or blue. Neighboring vertices with different opinions interact pairwise along an edge. After an interaction both vertices have the same color. The quantity of interest is the time to reach consensus, i.e., the number of steps needed for all vertices have the same color. We show that for a given initial coloring of the vertices, the expected time to reach consensus depends strongly on the underlying graph and the update rule (i.e., push, pull, oblivious)
The Undecided-State Dynamics is a well-known protocol that achieves Consensus in distributed systems...
In the deterministic binary majority process we are given a simple graph where each node has one out...
We study a plurality-consensus process in which each of n anonymous agents of a communication networ...
We consider an asynchronous voting process on graphs which we call discordant voting, and which can ...
We consider an asynchronous voting process on graphs which we call discordant voting, and which can ...
We consider an asynchronous voting process on graphs called discordant voting, which can be describe...
Voting protocols, such as the push and the pull protocol, are designed to model the behavior of peop...
We consider the two-opinion voter model on a regular random graph with $n$ vertices and degree $d \g...
A fundamental concept in the study of Markov chains and voting protocols is the notion of consensus....
We study voting models on graphs. In the beginning, the vertices of a given graph have some initial ...
In a voting process on a graph vertices revise their opinions in a distributed way based on the opin...
We study a simple random process in which vertices of a connected graph reach consensus through pair...
In a coalescing random walk, a set of particles make independent discrete-time random walks on a gra...
In the voting model each node has an opinion and in every time step each node adopts the opinion of ...
In the voter model, each node of a graph has an opinion, and in every round each node chooses indepe...
The Undecided-State Dynamics is a well-known protocol that achieves Consensus in distributed systems...
In the deterministic binary majority process we are given a simple graph where each node has one out...
We study a plurality-consensus process in which each of n anonymous agents of a communication networ...
We consider an asynchronous voting process on graphs which we call discordant voting, and which can ...
We consider an asynchronous voting process on graphs which we call discordant voting, and which can ...
We consider an asynchronous voting process on graphs called discordant voting, which can be describe...
Voting protocols, such as the push and the pull protocol, are designed to model the behavior of peop...
We consider the two-opinion voter model on a regular random graph with $n$ vertices and degree $d \g...
A fundamental concept in the study of Markov chains and voting protocols is the notion of consensus....
We study voting models on graphs. In the beginning, the vertices of a given graph have some initial ...
In a voting process on a graph vertices revise their opinions in a distributed way based on the opin...
We study a simple random process in which vertices of a connected graph reach consensus through pair...
In a coalescing random walk, a set of particles make independent discrete-time random walks on a gra...
In the voting model each node has an opinion and in every time step each node adopts the opinion of ...
In the voter model, each node of a graph has an opinion, and in every round each node chooses indepe...
The Undecided-State Dynamics is a well-known protocol that achieves Consensus in distributed systems...
In the deterministic binary majority process we are given a simple graph where each node has one out...
We study a plurality-consensus process in which each of n anonymous agents of a communication networ...